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Genai/Ml Engineer Finance Tech

https://www.citi.com/ Logo

Citi

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Location:
United States , Tampa

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

96960.00 - 145440.00 USD / Year
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Job Description:

We are seeking a skilled and passionate GenAI Engineer to join our team in Tampa, FL, and contribute to advancing our AI/ML capabilities within Citi Finance projects. This position focuses on the development and implementation of GenAI solutions, including chatbot development, and working with both structured and unstructured data. The successful candidate will implement cutting-edge GenAI applications for various financial use cases, leveraging strong Python skills and experience in areas like RAG pipelines, vector databases, prompt engineering, LLMs (Llama, Gemini, GPT-4), and dynamic SQL.

Job Responsibility:

  • Design, develop, and deploy end-to-end GenAI solutions, including chatbot development, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting
  • Process and analyze both structured and unstructured data to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation
  • Collaborate effectively with a team of AI/ML engineers, contributing to expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development
  • Implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications
  • Collaborate with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows
  • Utilize text-to-SQL to efficiently query and retrieve data from relational databases, integrating this data into GenAI pipelines
  • Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions
  • Contribute directly to the codebase and participate in technical decision-making, demonstrating hands-on technical expertise in GenAI implementation
  • Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI

Requirements:

  • Bachelor's or Master's degree in computer science, Engineering, or a related field
  • 5-8 years of software engineering experience with a strong focus on AI/ML solutions
  • 2+ years of real-world experience in implementing GenAI solutions, including demonstrable experience deploying production-ready GenAI and Chatbot applications
  • Understanding of GenAI models and architectures, with practical experience applying these models to real-world problems
  • Strong Python programming skills with extensive experience using relevant packages for GenAI and chatbot development
  • Experience processing and analyzing both structured and unstructured data, utilizing techniques like NLP and information retrieval
  • Ability to design and implement RAG pipelines
  • Hands-on experience with LLMs like Llama, Gemini, and GPT-4
  • Proficiency in text-to-SQL implementation leveraging LLMs for data extraction and insight generation from relational databases
  • Experience with cloud platforms and MLOps tools
  • Good understanding of Agentic AI concepts with POC exposure as an added advantage
  • Strong understanding of software engineering principles
  • Excellent communication, collaboration, and problem-solving skills
  • Experience in utilizing AI tools for development and deployment

Nice to have:

  • Experience with financial data and applications
  • Familiarity with specific GenAI applications in finance
  • Contributions to open-source projects related to GenAI or machine learning
What we offer:
  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
April 24, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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